Intelligent control method and system of electromagnetic vibration generator and storage medium

Abstract

The invention relates to the technical field of intelligent control, and provides an intelligent control method and system for an electromagnetic vibration generator and a storage medium, and the method comprises the steps: receiving a satellite positioning matching initial position, obtaining a task demand, and initializing the electromagnetic vibration generator; the method comprises the steps of monitoring an environment, establishing a self-adaptive control model, obtaining optimal parameters in combination with an initial position, and issuing an instruction to remotely control the electromagnetic vibration generator, and solves the technical problems that the control of the electromagnetic vibration generator is difficult to deal with complex operation scenes and dynamic environment changes, operation risks cannot be effectively avoided, and the overall operation efficiency and precision are limited. The working parameters of the electromagnetic vibrators are adjusted in real time, the precision and stability of seismic source signals in a complex environment are ensured, a plurality of communication channels are synchronously started, the stability of remote control and the safety of data transmission are improved through link encryption and a multi-switching protection mechanism, efficient cooperation among the electromagnetic vibrators is achieved, and the reliability of the electromagnetic vibrators is improved. And the task completion efficiency and the control precision are improved.

Description

Technical Field

[0001] The present invention relates to the technical field related to intelligent control, and in particular to an intelligent control method, system and storage medium for an electromagnetic actuator. Background Art

[0002] With the continuous development of earthquake detection technology, electromagnetic vibrators are widely used in resource exploration, geological surveys, earthquake research and other fields. Electromagnetic vibrators generate vibration signals through electromagnetic drive. Compared with traditional mechanical seismic sources, they have significant advantages such as controllable energy, wide frequency range and convenient operation. However, due to the complex and changeable working environment, such as the diversity of terrain, geological conditions and climate factors, higher requirements are placed on the intelligent control of electromagnetic vibrators.

[0003] At present, the control methods of most electromagnetic actuators still rely on experience and judgment, which makes it difficult to cope with complex operating scenarios and dynamic environmental changes. For example, when the geological conditions are poor or the environment changes drastically, it is difficult to adjust the working parameters of the source in real time, which may lead to insufficient source energy or spectrum distortion, thus affecting the accuracy of earthquake detection. In addition, there is a lack of efficient intelligent control methods for the coordinated operation and remote control of multiple electromagnetic actuators, making it difficult to achieve synchronous response and collaborative optimization among multiple devices, resulting in reduced work efficiency and task completion.

[0004] In summary, the existing technology has technical problems that the electromagnetic actuator control is difficult to cope with complex operating scenarios and dynamic environmental changes, cannot effectively avoid operational risks, and has limited overall operating efficiency and accuracy. Summary of the invention

[0005] The present application provides an intelligent control method, system and storage medium for an electromagnetic actuator, aiming to solve the technical problems in the prior art that the electromagnetic actuator control is difficult to cope with complex operating scenarios and dynamic environmental changes, cannot effectively avoid operational risks, and has limited overall operating efficiency and accuracy.

[0006] In view of the above problems, the embodiments of the present application provide an intelligent control method, system and storage medium for an electromagnetic actuator.

[0007] The first aspect disclosed in the present application provides an intelligent control method for an electromagnetic actuator, wherein the method includes: receiving current position information through a satellite positioning module, and matching it with a pre-stored task location to determine an initial working position; obtaining current task requirements, and at the same time, initializing and configuring multiple electromagnetic actuators to collect a set of working parameters; using multi-source sensing equipment to monitor environmental changes and obtain environmental monitoring data; based on the working parameter set and environmental monitoring data, performing multi-terminal state response synchronous optimization on the multiple electromagnetic actuators to establish an adaptive control model; based on the adaptive control model, in combination with the initial working position, obtaining an optimal working parameter combination, and issuing synchronous control instructions with the optimal working parameter combination to remotely control the multiple electromagnetic actuators.

[0008] The second aspect disclosed in the present application provides an intelligent control system for an electromagnetic actuator, including a memory and a processor, wherein the memory stores executable instructions, and when the processor executes the executable instructions stored in the memory, any step of the first aspect disclosed in the present application is implemented.

[0009] The third aspect disclosed in the present application provides a computer-readable storage medium storing a computer program for executing any step of the first aspect disclosed in the present application.

[0010] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0011] The current position information is received through the satellite positioning module, and matched with the pre-stored task location to determine the initial working position; the current task requirements are obtained, and at the same time, multiple electromagnetic actuators are initialized and configured to collect a set of working parameters; multi-source sensing equipment is used to monitor environmental changes and obtain environmental monitoring data; based on the working parameter set and environmental monitoring data, multi-terminal state response synchronization optimization of multiple electromagnetic actuators is performed to establish an adaptive control model; based on the adaptive control model, the optimal working parameter combination is combined with the initial working position, and synchronous control instructions are issued with the optimal working parameter combination to remotely control multiple electromagnetic actuators, monitor environmental changes through multi-source sensing equipment, combine key environmental feature filtering, and adjust the working parameters of the electromagnetic actuator in real time to ensure the accuracy and stability of the source signal in a complex environment, use wireless communication networks and multi-protocol adaptation layers to synchronously start multiple communication channels, and through link encryption and multiple switching protection mechanisms, improve the stability of remote control and the security of data transmission, achieve efficient collaboration between multiple electromagnetic actuators, and improve the technical effect of improving task completion efficiency and control accuracy.

[0012] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 A possible flow chart of an intelligent control method for an electromagnetic actuator is provided for an embodiment of the present application;

[0014] Figure 2 A possible structural schematic diagram of an intelligent control system of an electromagnetic actuator is provided for an embodiment of the present application.

[0015] Description of the reference numerals: bus 300 , receiver 301 , processor 302 , transmitter 303 , memory 304 , bus interface 305 . DETAILED DESCRIPTION

[0016] The following is a description of exemplary embodiments of the present invention in conjunction with the accompanying drawings, including various details of the embodiments of the present invention to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present invention. Similarly, for clarity and conciseness, the description of well-known functions and structures is omitted in the following description.

[0017] Embodiment 1

[0018] like Figure 1 As shown, an embodiment of the present application provides an intelligent control method for an electromagnetic actuator, wherein the method comprises:

[0019] S100: Receive current location information through a satellite positioning module, match it with a pre-stored task location, and determine an initial working location.

[0020] Specifically, the satellite positioning module includes GPS, Beidou and other satellite navigation systems, which can provide precise geographic location information to help the equipment accurately locate itself in a vast geographical environment; the pre-stored task location refers to the target location information stored in the system in advance, usually including specific longitude and latitude coordinates, and the initial working position of the device is determined by matching the current location with these pre-stored locations; the initial working position refers to the specific geographic location where the device starts to perform the task, which is the starting point for the execution of subsequent tasks.

[0021] Through the satellite positioning module, the electromagnetic actuator can obtain its precise position information on the earth in real time; this position information is matched with the pre-stored mission location to ensure that the equipment starts the mission at the correct location, laying the foundation for subsequent mission execution and ensuring the accuracy and reliability of the operation. In complex geological exploration tasks, accurate initial positioning can effectively avoid measurement errors caused by position deviations and improve the accuracy of detection data.

[0022] S200: Obtain current task requirements, and at the same time, initialize and configure multiple electromagnetic actuators and collect a set of working parameters.

[0023] Specifically, mission requirements refer to the specific requirements and objectives of the current mission, including parameters such as detection depth, frequency range, energy output, etc., which determine the working state and configuration of the electromagnetic vibrator; initialization configuration refers to the necessary settings and adjustments to the electromagnetic vibrator according to the mission requirements before the equipment starts working, to ensure that it can operate according to the predetermined parameters; the working parameter set includes various operating parameters of the equipment, such as current intensity, frequency, amplitude, etc. These parameters are the basis for the normal operation of the equipment.

[0024] After obtaining the current mission requirements, multiple electromagnetic actuators will be initialized and configured according to these requirements, including setting the current intensity, frequency range and other parameters of the equipment to ensure that the equipment can meet the specific requirements of the mission. At the same time, these working parameters are collected to form a parameter set to provide a data basis for subsequent optimization and control. Initialization configuration and parameter collection are key steps to ensure that the equipment can complete the mission efficiently and accurately, which helps to improve the success rate of the operation and the reliability of the data.

[0025] S300: Use multi-source sensing equipment to monitor environmental changes and obtain environmental monitoring data.

[0026] Specifically, multi-source sensing equipment refers to a variety of different types of sensor equipment that can monitor environmental changes from multiple angles and dimensions, including temperature sensors, humidity sensors, soil hardness sensors, etc.; environmental changes refer to changes in various factors in the working environment of the equipment, such as soil moisture, temperature, geological structure, etc.; environmental monitoring data also consists of various data information about environmental changes collected by multi-source sensing equipment, which provide a basis for dynamic adjustment of the equipment.

[0027] Multi-source sensing equipment monitors the changes in the environment around the electromagnetic actuator in real time, such as soil hardness and humidity, and converts these changes into data information. By analyzing these environmental monitoring data, the environmental conditions of the equipment can be understood in a timely manner. These data are crucial for the dynamic adjustment and optimization of the equipment, allowing the electromagnetic actuator to adjust its working parameters in real time according to changes in the actual environment, ensuring that it can maintain the best working state under different environmental conditions, thereby improving the accuracy and efficiency of detection.

[0028] S400: Based on the working parameter set and environmental monitoring data, the multi-terminal state response synchronous optimization of the plurality of electromagnetic actuators is performed to establish an adaptive control model.

[0029] Specifically, multi-terminal state response synchronous optimization refers to the coordination and synchronous optimization of the operating states of multiple electromagnetic actuators to ensure the collaborative work of the electromagnetic actuators in complex environments, involving the synchronous adjustment of multiple parameters of the equipment such as current, frequency, amplitude, etc.; the adaptive control model is a model that can automatically adjust the control strategy according to real-time data.

[0030] The collected working parameter sets and environmental monitoring data are input into the adaptive control model. The adaptive control model analyzes these data through machine learning algorithms to identify the optimal operating state of the equipment under different environmental conditions. Then, the multi-terminal states of multiple electromagnetic actuators are optimized synchronously to ensure that they can achieve optimal performance and efficiency when working together, allowing the equipment to automatically adapt to environmental changes and improve the stability and reliability of operations.

[0031] S500: Based on the adaptive control model and in combination with the initial working position, an optimal working parameter combination is obtained, and a synchronous control instruction is issued with the optimal working parameter combination to remotely control the multiple electromagnetic actuators.

[0032] Specifically, the optimal working parameter combination refers to the parameter setting combination that can enable the electromagnetic actuator to achieve the best performance under specific environmental and task conditions, including the optimal values ​​of parameters such as current intensity, frequency, and amplitude; synchronous control instructions refer to control instructions issued to multiple electromagnetic actuators at the same time to ensure that they can work together according to unified parameter settings; remote control refers to remote operation and management of equipment through a wireless communication network.

[0033] By using the adaptive control model, combined with the initial working position and the current environmental monitoring data, the optimal working parameter combination is calculated. Then, these parameter combinations are sent to each electromagnetic actuator through the wireless communication network, realizing the synchronous remote control of the electromagnetic actuator, ensuring the efficient collaborative work of the equipment under different environmental conditions and improving the accuracy and efficiency of the operation.

[0034] Furthermore, the method of the present application includes:

[0035] A first operating state is determined according to the components of a first electromagnetic actuator among the multiple electromagnetic actuators; a potential fault point is determined using a machine learning algorithm through the first operating state based on historical operating data; the potential fault points of the multiple electromagnetic actuators are traversed to set a safety protection mechanism.

[0036] Specifically, the first electromagnetic actuator refers to any one of the multiple electromagnetic actuators selected as a reference device; each component refers to various components inside the electromagnetic actuator, such as motors, sensors, circuit boards, etc.; the first operating state refers to the operating state of the first electromagnetic actuator under current conditions, including the working conditions and performance of each component; historical operating data refers to various data collected by the device during its past operation, including data during normal operation and failure; potential fault points refer to components or parts of the device that may fail, but have not yet failed; traversal refers to checking and analyzing the potential fault points of multiple electromagnetic actuators one by one; safety protection mechanism refers to various safety measures and protection strategies set for the device to prevent the occurrence of failures or reduce the impact of failures.

[0037] By monitoring and analyzing the various components of the first electromagnetic actuator, its current operating status is determined, including checking the temperature, current, vibration and other parameters of each component to evaluate its working condition; the first operating status is determined to understand the overall performance of the equipment and provide a basis for subsequent fault detection and optimization; the current operating status of the first electromagnetic actuator is combined with the historical operating data and analyzed using a machine learning algorithm; by learning the failure mode and normal operation mode in the historical data, the algorithm can identify potential points where failures may occur in the equipment, which helps to discover potential problems of the equipment in advance, so as to take preventive measures to avoid the occurrence of failures and improve the reliability and service life of the equipment; after determining the potential failure points of multiple electromagnetic actuators, these failure points are traversed, and corresponding safety protection mechanisms are set for each failure point, including setting temperature alarms, current overload protection, vibration anomaly detection and other measures; through the protection mechanism, timely intervention and processing can be carried out when the equipment is abnormal to prevent the expansion of the failure and damage to the equipment, ensuring the safe operation of the equipment and the smooth progress of the operation.

[0038] Furthermore, the method of this application uses multi-source sensing equipment to monitor environmental changes and obtain environmental monitoring data, including:

[0039] The multi-source sensing device is used to monitor environmental changes and collect multi-source data streams; key environmental features are introduced, and the key environmental features include soil hardness index, humidity change rate, and groundwater level threshold; the multi-source data streams are filtered using the key environmental features to obtain environmental monitoring data.

[0040] Specifically, multi-source sensing equipment refers to a variety of different types of sensor equipment that can monitor environmental changes from multiple angles and dimensions, including temperature sensors, humidity sensors, soil hardness sensors, etc.; environmental changes refer to changes in various factors in the working environment of the equipment, such as soil moisture, temperature, geological structure, etc.; multi-source data streams refer to large amounts of multi-dimensional data information collected by multi-source sensing equipment, which reflect real-time changes in the environment; key environmental characteristics refer to environmental factors that have an important impact on equipment operation and task execution, and can help the system identify and analyze key changes in the environment; the soil hardness index is an indicator used to reflect the degree of soil hardness, which affects the vibration effect and energy transfer of the equipment; the humidity change rate refers to the rate at which soil moisture changes over time, which affects the stability of the equipment and the propagation of signals; the groundwater level threshold refers to the critical value of the groundwater level, exceeding which may affect the normal operation of the equipment and the accuracy of the data; environmental monitoring data refers to data information related to key environmental characteristics obtained after filtering, which can reflect the real-time status and changing trends of the environment.

[0041] Multi-source sensing equipment monitors the changes of various environmental factors in the working environment in real time and converts these changes into data streams, including real-time data of multiple parameters such as temperature, humidity, soil hardness, etc. By collecting multi-source data streams, we can fully understand the environmental conditions in which the equipment is located, providing a rich data foundation for subsequent data analysis and equipment control, helping to improve the ability to perceive environmental changes, enabling equipment to better adapt to environmental changes, and improving the accuracy and stability of operations.

[0042] Extracting key environmental features from multi-source data streams, such as soil hardness index, humidity change rate, and groundwater level threshold, is an important reference factor for equipment operation and task execution. By introducing key environmental features, important changes in the environment can be more accurately identified and analyzed, thereby better adjusting the equipment's working parameters and control strategies to ensure efficient operation of the equipment under different environmental conditions and smooth completion of tasks.

[0043] Key environmental features are used to filter multi-source data streams, remove data unrelated to these features, and retain data related to key factors such as soil hardness, moisture changes, and groundwater levels. Through filtering, more accurate and useful environmental monitoring data can be obtained, providing a reliable basis for the dynamic adjustment and optimization of equipment, enabling the equipment to adjust working parameters in a timely manner according to changes in the actual environment, thereby improving the adaptability and accuracy of operations.

[0044] Furthermore, based on the working parameter set and environmental monitoring data, the multi-terminal state response of the multiple electromagnetic actuators is synchronously optimized to establish an adaptive control model. The method of the present application includes:

[0045] A training data set is set based on the historical operation data; the model parameters are continuously updated with a machine learning algorithm through the training data set, and iterative learning is performed in combination with feedback data.

[0046] Specifically, historical operation data refers to various data collected by the equipment during its past operation, including data during normal operation and when failures occur; training data sets are data sets selected from historical operation data for training machine learning models, including the equipment's operating status, environmental conditions, fault information, etc., so that the model can learn the equipment's operating rules and failure modes from them; machine learning algorithms refer to technologies that learn and discover rules from data through algorithms, which can be used to predict the equipment's operating status and fault detection; model parameters are adjustable parameters in machine learning models, and by adjusting these parameters, the model can better fit the training data and improve the accuracy of predictions; feedback data refers to new operating data and actual results collected during the model application process, which can be used to verify and improve the performance of the model; iterative learning refers to continuously updating model parameters and retraining the model so that the model can better adapt to new data and environmental changes in each iteration.

[0047] Data related to the equipment operating status and environmental conditions are extracted from historical operating data and organized into a training data set with sufficient sample size and diversity to ensure that the model can comprehensively learn the performance of the equipment under different conditions. By setting up the training data set, a foundation is provided for subsequent machine learning model training, enabling the model to improve the accuracy of prediction of equipment operating status and fault detection by learning from these data.

[0048] Use the training data set to train the machine learning model, and adjust the model parameters through the algorithm so that it can accurately predict the operating status of the equipment and detect potential faults. During the model application process, collect feedback data and combine it with the training data set to continue iterative learning of the model. By continuously updating the model parameters and iterative learning, the model can be continuously optimized to improve the prediction accuracy of the equipment operating status and the accuracy of fault detection, so that the system can better adapt to changes in equipment operation and environmental conditions, and improve equipment reliability and maintenance efficiency.

[0049] Furthermore, based on the adaptive control model and in combination with the initial working position, the optimal working parameter combination is obtained. The method of the present application includes:

[0050] Setting parameter verification rules; based on the adaptive control model and in combination with the initial working position, obtaining a plurality of simulated working parameter combinations; and performing safety verification on the plurality of simulated working parameter combinations according to the parameter verification rules.

[0051] Specifically, parameter verification rules refer to a series of standards and conditions used to verify whether the operating parameters of the equipment meet the safety and performance requirements, including parameter range limitations, combination constraints, interdependencies, etc., to ensure that the equipment will not be in danger or performance degradation during operation; simulated working parameter combinations refer to a variety of possible equipment working parameter setting schemes calculated by an adaptive control model, which is based on the model's prediction and optimization results of the equipment's operating status and environmental conditions, and aims to find parameter settings that can enable the equipment to achieve optimal performance under different circumstances; safety verification refers to the process of verifying the equipment's working parameter combination according to the parameter verification rules to ensure that it meets the safety and performance requirements, with the aim of preventing the equipment from being in danger or performance degradation during operation.

[0052] According to the performance indicators, safety requirements and historical operating experience of the equipment, a set of detailed parameter verification rules should be formulated, which need to cover all key working parameters, such as current intensity, frequency, amplitude, etc., and clarify the allowable range and combination conditions of each parameter. Setting parameter verification rules is the basis for ensuring the safe operation and efficient operation of the equipment. Through these rules, the parameters can be monitored and verified in real time during the startup and operation of the equipment, and parameter settings that do not meet the requirements can be discovered and corrected in time to prevent equipment failure or performance degradation.

[0053] Using the adaptive control model, combined with the initial working position of the equipment and the current environmental monitoring data, a large number of simulation calculations are carried out to generate multiple possible working parameter combinations according to different environmental conditions and task requirements, reflecting the potential optimal operating state of the equipment under different conditions. Obtaining multiple simulated working parameter combinations provides a variety of alternative options for subsequent parameter optimization and selection, and can flexibly adjust the working parameters of the equipment according to actual conditions, thereby improving the adaptability and operating efficiency of the equipment.

[0054] Compare multiple simulated working parameter combinations with the parameter verification rules one by one to check whether the parameters in each combination are within the allowable range and whether they meet the conditions such as combination constraints and interdependencies. For parameter combinations that do not meet the verification rules, adjust or exclude them and only retain combinations that meet safety requirements. Through safety verification, it can be ensured that the final selected working parameter combination is safe and reliable, so that the equipment can maintain good performance and stability during operation, reduce the risk of failure, and improve the safety and success rate of operations.

[0055] Furthermore, the method of the present application includes: issuing a synchronous control instruction with the optimal working parameter combination to remotely control the multiple electromagnetic actuators.

[0056] Based on the multiple electromagnetic actuators, a wireless communication network is established, and a multi-protocol adaptation layer is developed; using the multi-protocol adaptation layer, multiple communication channels in the wireless communication network are synchronously started and synchronous control instructions are sent.

[0057] Specifically, a wireless communication network refers to a network system that transmits data through radio waves, which can realize remote communication and data exchange between devices. In the application of electromagnetic shock actuators, wireless communication networks are used to connect and coordinate the operation of multiple devices; the multi-protocol adaptation layer can support and convert multiple communication protocols so that devices with different protocols can communicate smoothly. In the wireless communication network, the multi-protocol adaptation layer can solve the problem of protocol incompatibility between different devices and realize unified communication and control; a communication channel refers to a data transmission path or channel in a wireless communication network. Each channel can carry a certain amount of data transmission. In the communication of multiple devices, multiple channels may be required to meet the data transmission needs; synchronous control instructions refer to control instructions issued to multiple devices at the same time, requiring the devices to operate according to unified parameters and time. In the application of electromagnetic shock actuators, synchronous control instructions are used to ensure that multiple devices can maintain consistent operating status and output when working together.

[0058] A wireless communication network is established between multiple electromagnetic actuators to enable data transmission and communication through radio waves. In order to ensure compatibility and communication efficiency between different devices, a multi-protocol adaptation layer is developed. The multi-protocol adaptation layer can identify and convert multiple communication protocols, so that each device can communicate and exchange data according to a unified standard. By establishing a wireless communication network and developing a multi-protocol adaptation layer, efficient connection and collaborative work between multiple electromagnetic actuators are achieved, which provides a basis for remote control and synchronous operation and improves the flexibility and efficiency of operations.

[0059] By utilizing the multi-protocol adaptation layer, multiple communication channels in the wireless communication network are simultaneously started to ensure efficient and stable data transmission. Through these channels, synchronous control instructions are sent to multiple electromagnetic vibrators. The synchronous control instructions contain the optimal working parameter combination and operating requirements that the equipment needs to follow, so that each device can work together according to a unified standard. The use of the multi-protocol adaptation layer and synchronous control instructions can achieve efficient synchronization and coordination between multiple electromagnetic vibrators, improve the accuracy and consistency of operations, and ensure the smooth completion of tasks.

[0060] Furthermore, using the multi-protocol adaptation layer to synchronously start multiple communication channels in the wireless communication network, the method of the present application includes:

[0061] According to the wireless communication network, communication link encryption is performed and a communication encryption mechanism is set; according to the wireless communication network, multiple communication switching is performed and a communication switching mechanism is set; and the multi-protocol adaptation layer is used in combination with the communication encryption mechanism and the communication switching mechanism to perform traffic distribution in the wireless communication network.

[0062] Specifically, communication link encryption refers to the encryption of data transmission links in wireless communication networks to ensure that data is not illegally intercepted or tampered with during transmission. Encryption technology can use symmetric encryption, asymmetric encryption and other methods; communication encryption mechanism refers to the protection measures implemented through communication link encryption, which aims to improve the security and confidentiality of data transmission and prevent data leakage and unauthorized access; communication multiple switching refers to the ability to automatically switch to other backup links in a wireless communication network when a communication link fails or the signal is unstable to ensure the continuity and stability of communication; communication switching mechanism refers to the protection measures implemented through communication multiple switching, which aims to improve the reliability and fault tolerance of wireless communication networks and prevent communication interruptions caused by link failures; traffic allocation refers to the reasonable allocation of data transmission traffic in a wireless communication network according to the status of each communication link and the needs of the equipment. Traffic allocation can optimize the transmission efficiency and resource utilization of the network; communication encryption mechanism and communication switching mechanism refer to the protection measures of communication link encryption and communication multiple switching respectively. Combining these two mechanisms can improve the overall security and reliability of wireless communication networks.

[0063] In the wireless communication network, the data transmission link is encrypted, and the advanced encryption algorithm is used to encrypt and decrypt the transmitted data. In this way, even if the data is intercepted during the transmission process, illegal users cannot interpret the content of the data. By setting up a communication encryption mechanism, that is, communication link encryption, it can effectively prevent data leakage and unauthorized access, ensure the security and reliability of communication data between electromagnetic actuators, and provide security for remote control and collaborative operation of equipment.

[0064] In the wireless communication network, multiple communication links are set up, and the status of each link is monitored by an intelligent algorithm. When a link failure or unstable signal is detected, it automatically switches to other backup links to continue data transmission. By setting up a communication switching mechanism, that is, multiple communication switching, it can effectively avoid communication interruptions caused by link failures, ensure that the communication between electromagnetic actuators is always in a stable state, and improve the operating reliability of the equipment and the continuity of operations.

[0065] By utilizing the multi-protocol adaptation layer, combined with the protection mechanism of communication link encryption and communication multiple switching, traffic distribution is performed in the wireless communication network. The multi-protocol adaptation layer can intelligently allocate data traffic based on the security and stability status of each link and the data transmission requirements of the equipment. On the basis of ensuring the security and stability of data transmission, the transmission efficiency and resource utilization of the network are optimized. Through reasonable traffic distribution, it can ensure that the communication between electromagnetic actuators is more efficient and stable, and improve the collaborative operation capability and efficiency of the equipment.

[0066] Furthermore, the initial work location is determined by matching with the pre-stored task location. The application method includes:

[0067] A user interface is designed in which pre-stored tasks are scheduled by dragging and dropping; at the same time, an abnormal reminder unit is integrated to use a safety distance threshold to check whether there is a conflict between multiple pre-stored task locations; if there is a conflict, a distance reminder is given.

[0068] Specifically, the user interface refers to the interface for users to interact with the system, which usually includes a graphical interface and operation buttons, etc., and is used to display information and receive user instructions; the drag method refers to the user operating by dragging and dropping with a mouse or other input device, which is often used for task scheduling and layout adjustment in the graphical interface; pre-stored task scheduling refers to the arrangement and adjustment of pre-stored tasks to ensure that the tasks can be executed in a predetermined order and time; the abnormal reminder unit refers to a functional module integrated in the user interface for detecting and reminding abnormal situations, which can monitor the status of task execution and equipment operation in real time, and promptly send reminders to the user when an abnormality is detected; the safety distance threshold refers to a safety distance standard set between task locations, which is used to determine whether the distance between task locations is too close to avoid mutual interference or conflict during task execution; conflict check refers to checking the positional relationship between multiple pre-stored task locations to determine whether there is a conflict caused by too close distance; distance reminder refers to the specific reminder information sent to the user when a conflict between task locations is detected. The reminder content usually includes the name and location of the conflicting task location and the distance range that needs to be adjusted, etc., to guide the user to make corresponding adjustments.

[0069] Design an intuitive and easy-to-use user interface that includes elements such as maps or task lists. Users can move and adjust pre-stored tasks on the interface by dragging and dropping to schedule and arrange tasks. For example, they can drag the task marker on the map to the specified location, or adjust the order of tasks in the task list. This drag-and-drop user interface design makes task scheduling more intuitive and flexible. Users can easily adjust and optimize tasks, thereby improving the efficiency and accuracy of task management.

[0070] An abnormality reminder unit is integrated in the user interface, and a safety distance threshold is set. When the user schedules a task, the distances between multiple pre-stored task locations are automatically checked. If it is found that the distance between a task location and other task locations is less than the safety distance threshold, it is determined that there is a conflict. The abnormality reminder unit will issue a reminder to the user based on the inspection result, prompting the user to adjust the location of the task location to avoid the conflict. By integrating the abnormality reminder unit and performing conflict checks, mutual interference and conflicts in task execution can be effectively prevented, ensuring the smooth progress of tasks and the safe operation of equipment.

[0071] When the abnormal reminder unit detects a conflict between multiple pre-stored task locations, the system will automatically issue a distance reminder. The reminder information will be displayed on the user interface, prompting the user that a certain task location is too close to other task locations and there is a potential risk of conflict. The user can readjust the location of the task location based on the reminder information to ensure that the distance between each task location meets the requirements of the safety distance threshold. By issuing distance reminders, users can promptly discover and resolve conflicts between task locations, avoid task execution interference and equipment damage caused by too close distances, and improve the smooth completion rate of tasks and the safety of equipment.

[0072] In summary, the intelligent control method, system and storage medium of an electromagnetic actuator provided by the embodiments of the present application have the following technical effects:

[0073] The current position information is received through the satellite positioning module, and matched with the pre-stored task location to determine the initial working position; the current task requirements are obtained, and at the same time, multiple electromagnetic actuators are initialized and configured, and a set of working parameters are collected; multi-source sensing equipment is used to monitor environmental changes and obtain environmental monitoring data; based on the working parameter set and environmental monitoring data, multiple electromagnetic actuators are synchronously optimized for multi-terminal state responses to establish an adaptive control model; based on the adaptive control model, combined with the initial working position, the optimal working parameter combination is obtained, and synchronous control instructions are issued with the optimal working parameter combination to remotely control multiple electromagnetic actuators. The present application provides an intelligent control method, system and storage medium for electromagnetic actuators, monitors environmental changes through multi-source sensing equipment, combines key environmental feature filtering, adjusts the working parameters of the electromagnetic actuator in real time, ensures the accuracy and stability of the source signal in a complex environment, uses a wireless communication network and a multi-protocol adaptation layer to synchronously start multiple communication channels, and improves the stability of remote control and the security of data transmission through link encryption and multiple switching protection mechanisms, thereby achieving efficient collaboration between multiple electromagnetic actuators and improving the technical effects of task completion efficiency and control accuracy.

[0074] Embodiment 2

[0075] like Figure 2As shown, it is a structural schematic diagram of an intelligent control system of an electromagnetic shock actuator in this application. Figure 2 In the embodiment of the present invention, the bus architecture is represented by bus 300, which may include any number of interconnected buses and bridges, and bus 300 connects various circuits including one or more processors represented by processor 302 and memory represented by memory 304. Bus 300 may also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are not further described herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, namely a transceiver, which provides a unit for communicating with various other devices over a transmission medium.

[0076] The memory 304, as a computer-readable storage medium, can be used to store software programs, computer executable programs and modules, such as program instructions / modules corresponding to an intelligent control method for an electromagnetic vibrator in an embodiment of the present application. The processor 302 executes various functional applications and data processing of the computer device by running the software programs, instructions and modules stored in the memory 304, that is, implements the intelligent control method for the electromagnetic vibrator mentioned above. The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0077] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An intelligent control method for an electromagnetic actuator, characterized in that: The method comprises: Receive current location information through satellite positioning module and match it with pre-stored task location to determine initial working location; Obtain the current task requirements, initialize and configure multiple electromagnetic actuators, and collect a set of working parameters; Use multi-source sensing equipment to monitor environmental changes and obtain environmental monitoring data; Based on the working parameter set and environmental monitoring data, the multiple electromagnetic actuators are subjected to multi-terminal state response synchronous optimization to establish an adaptive control model; Based on the adaptive control model and in combination with the initial working position, an optimal working parameter combination is obtained, and a synchronous control instruction is issued with the optimal working parameter combination to remotely control the multiple electromagnetic actuators.

2. The method according to claim 1, characterized in that Initializing and configuring a plurality of electromagnetic actuators, the method described above includes: Determining a first operating state according to each component of a first electromagnetic actuator among the plurality of electromagnetic actuators; Based on the historical operation data, using the first operation state, determine the potential failure point using a machine learning algorithm; The potential failure points of the plurality of electromagnetic actuators are traversed and a safety protection mechanism is set.

3. The method according to claim 1, characterized in that Using multi-source sensing equipment to monitor environmental changes and obtain environmental monitoring data, the method includes: Using the multi-source sensing device to monitor environmental changes and collect multi-source data streams; Introducing key environmental characteristics, including soil hardness index, moisture change rate, and groundwater level threshold; The multi-source data stream is filtered using the key environmental features to obtain environmental monitoring data.

4. The method according to claim 2, characterized in that Based on the working parameter set and environmental monitoring data, the multiple electromagnetic actuators are subjected to multi-terminal state response synchronous optimization to establish an adaptive control model, and the method includes: Based on the historical operation data, setting a training data set; The training data set is used to continuously update the model parameters using a machine learning algorithm, and iterative learning is performed in combination with feedback data.

5. The method according to claim 4, characterized in that Based on the adaptive control model and in combination with the initial working position, an optimal working parameter combination is obtained. The above method includes: Set parameter verification rules; Based on the adaptive control model and in combination with the initial working position, a plurality of simulated working parameter combinations are obtained; According to the parameter verification rule, the plurality of simulation working parameter combinations are safety verified.

6. The method according to claim 5, characterized in that The method of issuing a synchronous control instruction to remotely control the plurality of electromagnetic actuators by using the optimal working parameter combination includes: Based on the plurality of electromagnetic actuators, a wireless communication network is established, and a multi-protocol adaptation layer is developed; The multi-protocol adaptation layer is used to synchronously start multiple communication channels in the wireless communication network and send synchronous control instructions.

7. The method according to claim 6, characterized in that Using the multi-protocol adaptation layer, synchronously starting multiple communication channels in the wireless communication network, the method comprising: Perform communication link encryption according to the wireless communication network and set a communication encryption mechanism; Perform multiple communication switching according to the wireless communication network and set a communication switching mechanism; The multi-protocol adaptation layer is used in combination with the communication encryption mechanism and the communication switching mechanism to perform traffic distribution in the wireless communication network.

8. The method according to claim 1, characterized in that Matching with the pre-stored task location to determine the initial work location, the method includes: Designing a user interface in which pre-stored tasks are scheduled by dragging and dropping; At the same time, an abnormal reminder unit is integrated to use the safety distance threshold to check whether there is a conflict between multiple pre-stored task locations; If there is a conflict, a distance reminder will be given.

9. An intelligent control system for an electromagnetic starter, characterized in that: The system comprises: A memory for storing executable instructions; The processor is used to implement the intelligent control method of the electromagnetic actuator according to any one of claims 1 to 8 when executing the executable instructions stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, an intelligent control method for an electromagnetic actuator as described in any one of claims 1 to 8 is implemented.

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